This article delves into designing stabilizing feedback control gains for continuous-time linear systems with unknown state matrix, in which the control gain is subjected to a structural constraint.

The paper compares of the multidimensional matrix algebra and the tensor algebra. It is shown that tensor algebra operations are realized in the multidimensional matrix algebra more efficiently.

linear algebra in terms of vectors and matrices, with applications to and linear equation systems Skills You should be able to solve more sophisticated calculus problems than what is covered in ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

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This book is aimed at graduate students and researchers who are interested in the probability limit theory of random matrices and random partitions. It mainly consists of three parts. Part I is a ...

RBI Grade B Syllabus and Exam Pattern 2025 Phase I serves as a preliminary stage to clear the RBI Grade B Exam 2025, in which candidates are assessed through objective-type questions in areas such as ...